This skill is loaded automatically at session start via SessionStart hook. Establishes protocols for finding and using skills, checking skills before tasks, brainstorming before coding, and creating TodoWrite for checklists.
This skill guides building high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services. Use when creating MCP servers, designing tool interfaces, or implementing protocol handlers.
Validates LangGraph implementations for correctness, consistency, and integration readiness. Use this skill when implementing, reviewing, or debugging any LangGraph code - agents, nodes, subgraphs, state schemas, or graph compositions. Prevents common LangGraph failures including orphaned nodes, state key mismatches, broken conditional edges, and integration incompatibilities. Triggers on LangGraph development tasks, code reviews, or when debugging graph execution issues.
Import GGUF models from HuggingFace into Ollama. Pull models directly using the hf.co/ prefix, track download progress, and use imported models for inference.
Gemini CLI 호출 스킬. 트리거: "gemini로", "gemini 써서", "gemini한테", "with gemini", "use gemini" 암시적 트리거 (자동 제안): - 멀티모달: "이미지 분석", "PDF 읽어", "analyze image", "analyze PDF" - 대용량 컨텍스트: "전체 코드베이스", "entire codebase" - 실시간 검색: "최신 정보", "출처 포함", "with sources" - 보안/아키텍처: "보안 점검", "아키텍처 리뷰", "취약점 찾아" - PR 리뷰: "PR 리뷰해", "코드 리뷰해", "review PR", "code review" - 번역/i18n: "번역해", "i18n 적용", "translate", "localize" Gemini는 범용 에이전트로 분석, 설계, 구현, 리뷰 등 모든 작업을 수행할 수 있습니다.
Learning loop for self-improvement. Use when you notice a teachable moment, want to update CLAUDE.md, create a new skill, or reflect on what worked/failed. Triggers: 'remember this', 'update my config', 'that worked well', 'that failed'.
Build a multi-provider LLM client abstraction layer for Rails applications. Use when integrating multiple LLM providers (OpenAI, Anthropic, Gemini, Ollama), implementing provider switching, feature-based model routing, or standardizing LLM responses across providers.
Save current conversation to persistent memory. Use when user says "save this", "remember this", "store this for later", or wants to preserve context for future sessions.
Generate images using Google's Gemini image generation model with Deno. Use this skill when the user wants to create AI-generated images, perform image-to-image transformations, or generate visual content from text prompts. Triggers include requests like "generate an image of...", "create a picture of...", "make an image with...", or "transform this image to...".
Transform raw research questions into structured, validated research prompts with automatic research type detection and output format validation. Ensures prompts are ready for research-executor with comprehensive quality checks.
Execute Indirect Prompt Injection attacks for Gray Swan AI Arena Wave 2 with pre-built payloads, model profiling, and evidence collection automation
Use when the user wants to analyze writing samples to extract voice patterns, create voice-replicating prompts, or refine content generation prompts to match a specific writing style
This skill helps create ChatKit store implementations with database integration, following best practices and avoiding common errors we've solved in previous implementations.
Identifying, assessing, and mitigating risks in AI systems including bias, safety, privacy, security, and ethical concerns.
Generate audio from text using 13 TTS providers (local + cloud). Use when user wants to create audio files, convert text to speech, generate voiceovers, create audio with different voices, use voice cloning, multilingual TTS, or mentions /create-audio command. Supports Pocket TTS (CPU, 8 voices), MLX-Audio (Apple Silicon, 7 models, 50+ voices), ElevenLabs (cloud API, 32 languages, 10k+ voices), and Coqui TTS (open source, 4 models, voice cloning). Includes 32+ languages, voice cloning, speed control, and both local and cloud options.
Current state of Claude's memory, context, and Skills architecture as of late 2025. LOAD THIS when discussing context engineering, Skills, userMemories, memory management, context portability across surfaces, or troubleshooting why context isn't loading. Contains experimental findings and observed behaviors NOT in training data.
Use when diagnosing openai_harmony.HarmonyError or gpt-oss tool calling issues with vLLM. Identifies error sources (vLLM server vs client), maps specific error messages to known GitHub issues, and provides configuration fixes for tool calling problems with gpt-oss models.
